Spaces:
Runtime error
Runtime error
agent debug capture
Browse files
app.py
CHANGED
@@ -1,4 +1,7 @@
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import base64
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import gradio as gr
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from fastapi import FastAPI
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@@ -21,6 +24,33 @@ app.add_middleware(
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class ChatQuery(BaseModel):
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query: str
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grade: str
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@@ -39,6 +69,7 @@ class TTSQuery(BaseModel):
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src: str
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@app.get("/agent")
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async def agent(query: ChatQuery):
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collection = f"{query.grade}_{query.subject.lower()}_{query.chapter}"
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@@ -61,6 +92,7 @@ async def tts(query: TTSQuery):
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return await speaker(query.text, query.src)
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async def gradio_interface(input_text, grade, subject, chapter, history):
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response = await agent(ChatQuery(query=input_text, grade=grade, subject=subject, chapter=chapter))
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@@ -74,7 +106,6 @@ async def gradio_interface(input_text, grade, subject, chapter, history):
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else:
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output = "Unexpected response format"
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history.append((input_text, {"type": "text", "content": output}))
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return "", history
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@@ -86,24 +117,68 @@ def format_history(history):
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formatted_history.append((None, assistant["content"]))
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elif assistant["type"] == "audio":
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formatted_history.append((None, gr.Audio(value=assistant["content"], visible=True)))
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return formatted_history
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with gr.Blocks() as iface:
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gr.Markdown("# Agentic RAG Chatbot")
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gr.Markdown("Ask a question and get an answer from the chatbot. The response may be text or audio.")
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with gr.Row():
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-
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chatbot = gr.Chatbot(label="Chat History")
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msg = gr.Textbox(label="Your message", placeholder="Type your message here...")
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state = gr.State([])
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msg.submit(gradio_interface, inputs=[msg, grade, subject, chapter, state], outputs=[msg, state]).then(format_history, inputs=[state], outputs=[chatbot])
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app = gr.mount_gradio_app(app, iface, path="/")
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if __name__ == "__main__":
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import base64
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import sys
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from datetime import datetime
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from io import StringIO
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import gradio as gr
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from fastapi import FastAPI
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)
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class DebugCapture(StringIO):
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def __init__(self):
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super().__init__()
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self.debug_history = []
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self.new_entry = True
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def write(self, s):
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if s.strip():
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if self.new_entry:
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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self.debug_history.append(f"[{timestamp}] {s.strip()}")
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self.new_entry = False
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else:
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self.debug_history[-1] += f"\n{s.strip()}"
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else:
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self.new_entry = True
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if len(self.debug_history) > 10: # Limit log history memory consumption
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self.debug_history.pop(0)
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return super().write(s)
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debug_capture = DebugCapture()
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sys.stdout = debug_capture
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class ChatQuery(BaseModel):
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query: str
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grade: str
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src: str
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# API Endpoints
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@app.get("/agent")
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async def agent(query: ChatQuery):
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collection = f"{query.grade}_{query.subject.lower()}_{query.chapter}"
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return await speaker(query.text, query.src)
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# Gradio interface
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async def gradio_interface(input_text, grade, subject, chapter, history):
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response = await agent(ChatQuery(query=input_text, grade=grade, subject=subject, chapter=chapter))
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else:
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output = "Unexpected response format"
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history.append((input_text, {"type": "text", "content": output}))
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return "", history
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formatted_history.append((None, assistant["content"]))
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elif assistant["type"] == "audio":
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formatted_history.append((None, gr.Audio(value=assistant["content"], visible=True)))
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if len(formatted_history) > 10: # Limit history memory consumption
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formatted_history.pop(0)
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return formatted_history
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# Debug functions
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def update_debug_output():
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return "\n".join(debug_capture.debug_history)
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def clear_debug_history():
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debug_capture.debug_history = []
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return "Debug history cleared."
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def toggle_debug_modal(visible):
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return gr.update(visible=visible)
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# Gradio UI setup
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with gr.Blocks() as iface:
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gr.Markdown("# Agentic RAG Chatbot")
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# Main header row
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with gr.Row():
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with gr.Column(scale=19):
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gr.Markdown("Ask a question and get an answer from the chatbot. The response may be text or audio.")
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with gr.Column(scale=1, min_width=50):
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debug_button = gr.Button("🖥️", size="sm")
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# Chat input and interaction
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with gr.Row():
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with gr.Column(scale=20):
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with gr.Row():
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grade = gr.Dropdown(choices=["1", "2", "3", "4", "5", "6", "7", "9", "10", "11", "12"], label="Grade", value="9", interactive=True)
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subject = gr.Dropdown(choices=["Math", "Science", "History"], label="Subject", value="Science", interactive=True)
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chapter = gr.Dropdown(choices=["1", "2", "3", "4", "5", "6", "7", "9", "10", "11", "12", "13", "14", "15", "16"], label="Chapter", value="11", interactive=True)
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chatbot = gr.Chatbot(label="Chat History")
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msg = gr.Textbox(label="Your message", placeholder="Type your message here...")
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state = gr.State([])
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# Debugging modal
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with gr.Group(visible=False) as debug_modal:
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debug_output = gr.TextArea(label="Debug Terminal", interactive=False)
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with gr.Row():
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refresh_button = gr.Button("Refresh Debug History")
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clear_button = gr.Button("Clear Debug History")
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close_button = gr.Button("Close")
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# Submit action
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msg.submit(gradio_interface, inputs=[msg, grade, subject, chapter, state], outputs=[msg, state]).then(format_history, inputs=[state], outputs=[chatbot])
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# Debug button click
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debug_button.click(lambda: toggle_debug_modal(True), outputs=debug_modal).then(update_debug_output, inputs=[], outputs=[debug_output])
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# Debug modal buttons
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refresh_button.click(update_debug_output, inputs=[], outputs=[debug_output])
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clear_button.click(clear_debug_history, inputs=[], outputs=[debug_output])
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close_button.click(lambda: toggle_debug_modal(False), outputs=debug_modal)
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app = gr.mount_gradio_app(app, iface, path="/")
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if __name__ == "__main__":
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