Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,16 +4,12 @@ from io import BytesIO
|
|
4 |
import pypdf
|
5 |
import os
|
6 |
|
7 |
-
# **IMPORTANT:**
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
#space_url = os.environ.get("SPACE_URL", "https://ruslanmv-milvus-server.hf.space") # or set it here
|
12 |
-
#rag_url = os.environ.get("SPACE_URL", "https://ruslanmv-milvus-server.hf.space") + "/rag"
|
13 |
-
#insert_url = os.environ.get("SPACE_URL", "https://ruslanmv-milvus-server.hf.space") + "/insert"
|
14 |
-
space_url = os.environ.get("SPACE_URL", "https://ruslanmv-milvus-server.hf.space")
|
15 |
|
16 |
-
# Function to extract text from a PDF file
|
17 |
def extract_text_from_pdf(pdf_file):
|
18 |
pdf_stream = BytesIO(pdf_file)
|
19 |
reader = pypdf.PdfReader(pdf_stream)
|
@@ -24,12 +20,10 @@ def extract_text_from_pdf(pdf_file):
|
|
24 |
|
25 |
# Function to handle PDF upload and insertion into Milvus
|
26 |
def upload_and_index_pdf(pdf_file, server_url):
|
27 |
-
#insert_url = server_url.rstrip("/") + "/insert"
|
28 |
-
insert_url = server_url + "/insert"
|
29 |
try:
|
30 |
files = {'file': (pdf_file.name, open(pdf_file.name, 'rb'), 'application/pdf')}
|
31 |
-
response = requests.post(insert_url, files=files, timeout=600)
|
32 |
-
response.raise_for_status()
|
33 |
return "PDF uploaded and indexed successfully!"
|
34 |
except requests.exceptions.RequestException as e:
|
35 |
return f"Error during PDF upload: {e}"
|
@@ -38,8 +32,6 @@ def upload_and_index_pdf(pdf_file, server_url):
|
|
38 |
|
39 |
# Function to perform RAG query
|
40 |
def perform_rag_query(question, server_url):
|
41 |
-
#rag_url = server_url.rstrip("/") + "/rag"
|
42 |
-
rag_url = server_url + "/rag"
|
43 |
try:
|
44 |
response = requests.post(rag_url, json={"question": question}, timeout=300)
|
45 |
response.raise_for_status()
|
@@ -50,6 +42,14 @@ def perform_rag_query(question, server_url):
|
|
50 |
except Exception as e:
|
51 |
return f"An unexpected error occurred: {e}"
|
52 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
# Gradio interface setup
|
54 |
with gr.Blocks() as demo:
|
55 |
gr.Markdown(
|
@@ -60,20 +60,35 @@ with gr.Blocks() as demo:
|
|
60 |
)
|
61 |
with gr.Row():
|
62 |
with gr.Column():
|
63 |
-
pdf_input = gr.File(label="Upload PDF", type="
|
64 |
server_url_input = gr.Textbox(
|
65 |
label="Milvus Server URL",
|
66 |
-
value=space_url,
|
67 |
placeholder="Enter your Milvus Server URL"
|
68 |
)
|
69 |
upload_button = gr.Button("Upload and Index PDF")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
with gr.Column():
|
71 |
upload_output = gr.Textbox(label="Upload Status")
|
72 |
-
|
73 |
with gr.Row():
|
74 |
with gr.Column():
|
75 |
question_input = gr.Textbox(label="Ask a question about the PDF")
|
76 |
query_button = gr.Button("Ask")
|
|
|
|
|
|
|
|
|
|
|
|
|
77 |
with gr.Column():
|
78 |
answer_output = gr.Textbox(label="Answer")
|
79 |
|
|
|
4 |
import pypdf
|
5 |
import os
|
6 |
|
7 |
+
# **IMPORTANT:** Set your Hugging Face Space URL here or as an environment variable
|
8 |
+
space_url = os.environ.get("SPACE_URL", "https://ruslanmv-milvus-server.hf.space") # Your Milvus Server Space URL
|
9 |
+
rag_url = space_url + "/rag"
|
10 |
+
insert_url = space_url + "/insert"
|
|
|
|
|
|
|
|
|
11 |
|
12 |
+
# Function to extract text from a PDF file (no changes needed here)
|
13 |
def extract_text_from_pdf(pdf_file):
|
14 |
pdf_stream = BytesIO(pdf_file)
|
15 |
reader = pypdf.PdfReader(pdf_stream)
|
|
|
20 |
|
21 |
# Function to handle PDF upload and insertion into Milvus
|
22 |
def upload_and_index_pdf(pdf_file, server_url):
|
|
|
|
|
23 |
try:
|
24 |
files = {'file': (pdf_file.name, open(pdf_file.name, 'rb'), 'application/pdf')}
|
25 |
+
response = requests.post(insert_url, files=files, timeout=600)
|
26 |
+
response.raise_for_status()
|
27 |
return "PDF uploaded and indexed successfully!"
|
28 |
except requests.exceptions.RequestException as e:
|
29 |
return f"Error during PDF upload: {e}"
|
|
|
32 |
|
33 |
# Function to perform RAG query
|
34 |
def perform_rag_query(question, server_url):
|
|
|
|
|
35 |
try:
|
36 |
response = requests.post(rag_url, json={"question": question}, timeout=300)
|
37 |
response.raise_for_status()
|
|
|
42 |
except Exception as e:
|
43 |
return f"An unexpected error occurred: {e}"
|
44 |
|
45 |
+
# Example questions
|
46 |
+
example_questions = [
|
47 |
+
"What are the enabling technologies for GPT?",
|
48 |
+
"Explain the potential applications of GPT.",
|
49 |
+
"What are some emerging challenges with GPT technology?",
|
50 |
+
"Describe the future directions for GPT research."
|
51 |
+
]
|
52 |
+
|
53 |
# Gradio interface setup
|
54 |
with gr.Blocks() as demo:
|
55 |
gr.Markdown(
|
|
|
60 |
)
|
61 |
with gr.Row():
|
62 |
with gr.Column():
|
63 |
+
pdf_input = gr.File(label="Upload PDF", type="filepath") # Changed type to "filepath"
|
64 |
server_url_input = gr.Textbox(
|
65 |
label="Milvus Server URL",
|
66 |
+
value=space_url,
|
67 |
placeholder="Enter your Milvus Server URL"
|
68 |
)
|
69 |
upload_button = gr.Button("Upload and Index PDF")
|
70 |
+
|
71 |
+
# Load and index the default PDF on startup (if it exists)
|
72 |
+
if os.path.exists("transformers.pdf"): # Check if transformers.pdf exists
|
73 |
+
with open("transformers.pdf", "rb") as f:
|
74 |
+
default_pdf_content = f.read()
|
75 |
+
# Using gr.State to store the default PDF content between sessions
|
76 |
+
default_pdf_file = gr.State(default_pdf_content)
|
77 |
+
upload_and_index_pdf(default_pdf_file, server_url_input.value)
|
78 |
+
|
79 |
with gr.Column():
|
80 |
upload_output = gr.Textbox(label="Upload Status")
|
81 |
+
|
82 |
with gr.Row():
|
83 |
with gr.Column():
|
84 |
question_input = gr.Textbox(label="Ask a question about the PDF")
|
85 |
query_button = gr.Button("Ask")
|
86 |
+
# Example questions
|
87 |
+
gr.Examples(
|
88 |
+
examples=example_questions,
|
89 |
+
inputs=question_input,
|
90 |
+
label="Example Questions",
|
91 |
+
)
|
92 |
with gr.Column():
|
93 |
answer_output = gr.Textbox(label="Answer")
|
94 |
|