Upload mygradiobot2.py

mygradiobot2.py

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+import os
+import openai
+import gradio as gr
+from dotenv import load_dotenv
+
+# Load environment variables from a .env file
+load_dotenv()
+
+# Retrieve and verify the OpenAI API key from the environment variable
+api_key = os.getenv('OPENAI_API_KEY')
+if not api_key:
+    raise ValueError("OpenAI API key not found. Please set it in the environment variables.")
+openai.api_key = api_key
+
+def chatbot(input_text):
+    print(f"Received input: {input_text}")
+    try:
+        response = openai.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are a helpful assistant."},
+                {"role": "user", "content": input_text}
+            ]
+        )
+        ''''''
+        print("Response object type:", type(response))
+        print("Response object:", response)
+        
+        print("Choices type:", type(response.choices))
+        print("First choice type:", type(response.choices[0]))
+        print("First choice:", response.choices[0])
+        
+        print("Message type:", type(response.choices[0].message))
+        print("Message:", response.choices[0].message)
+        
+        print("Content type:", type(response.choices[0].message.content))
+        print("Content:", response.choices[0].message.content)
+        ''''''
+        answer = response.choices[0].message.content
+        if isinstance(answer, str):
+            answer = answer.strip()
+        
+        print(f"Final answer: {answer}")
+        return answer
+    except Exception as e:
+        print(f"Error: {e}")
+        return f"An error occurred: {e}"
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=chatbot, 
+    inputs="text", 
+    outputs="text",
+    title="My Chatbot",
+    description="Ask anything!"
+)
+
+# Launch the interface
+iface.launch()