Update app.py

app.py

@@ -64,39 +64,12 @@ def analyze_response(text_input, file_input):
 
 
 
-# Set up Gradio Interface
-# iface = gr.Interface(
-#     #fn=chatbot,
-#     inputs=[
-#         gr.File(label="Upload a file (PDF, JSON, DOCX)"),
-#         gr.Textbox(label="Your Message"),
-#         "state"  # Keeps chat history between turns
-#     ],
-#     outputs="chatbot",
-#     live=True,
-#     description="Drag and drop a file and start chatting with the bot based on its contents."
-# )
-# iface.launch()
-#title="👋 Hola-Hello-Bonjour-Mbote-你好 👋 <br><br> I am geobot-teacher the student marker! <br><br> I am here to analyse each question to determine whether the response qualifies as a pass or fail. <br><br> Try me :)",
-#description="Synthetic QA pairs (~1k) was finetuned on top of Gemma_2b_en.")
-# inputs="text"
-
-# iface = gr.Interface(launch,
-#                      inputs="text",
-#                      outputs="text",
-#                      css=css,
-#                      title="👋 Hi, I am geobot-teacher: The Student Marker 👋",
-#                      description="Hola/Hello/Bonjour/Mbote/你好 \n\n"
-#                                     "I am here to analyse each question to determine whether the response qualifies as a pass or fail.\n\n"
-#                                     "Try me :)",
-#                     )
-
 # import gradio as gr
 # import json
 # import fitz  # PyMuPDF for PDFs
 # from docx import Document
 
-# Function to read PDF, JSON, or DOCX files and categorize content
+# Functions to read different file types
 # def read_pdf(file):
 #     text = ""
 #     pdf = fitz.open(file)
@@ -116,18 +89,20 @@ def read_json(file):
 #     return text
 
 def parse_content(content):
-    # Assuming header and multiple_choice_questions sections are clearly marked in the content
-    sections = {"header": "", "multiple_choice_questions": ""}
-    # Here, a simple splitting example (customize this based on your format)
-    if "header" in content:
-        sections["header"] = content.split("header")[1].split("header")[0].strip()
-    if "multiple_choice_questions" in content:
-        sections["multiple_choice_questions"] = content.split("multiple_choice_questions")[1].strip()
+    # Assuming QCM, short_answer_questions, and long_answer_questions are sections
+    sections = {"QCM": "", "short_answer_questions": "", "long_answer_questions": ""}
+    # Simple splitting based on section keywords (customize based on format)
+    if "QCM" in content:
+        sections["QCM"] = content.split("QCM")[1].split("short_answer_questions")[0].strip()
+    if "short_answer_questions" in content:
+        sections["short_answer_questions"] = content.split("short_answer_questions")[1].split("long_answer_questions")[0].strip()
+    if "long_answer_questions" in content:
+        sections["long_answer_questions"] = content.split("long_answer_questions")[1].strip()
     return sections
 
 def handle_file_upload(file):
     if file is None:
-        return "Please upload a file.", [], ""
+        return "Please upload a file.", "", gr.update(visible=False, interactive=False)
     
     file_type = file.name.split('.')[-1].lower()
     if file_type == 'pdf':
@@ -137,37 +112,144 @@ def handle_file_upload(file):
     elif file_type == 'docx':
         content = read_docx(file)
     else:
-        return "Unsupported file format. Please upload a PDF, JSON, or DOCX file.", [], ""
+        return "Unsupported file format. Please upload a PDF, JSON, or DOCX file.", "", gr.update(visible=False, interactive=False)
 
-    # Parse content into sections
+    # Parse content into predefined sections
     sections = parse_content(content)
-    options = list(sections.keys())  # Radio button options (e.g., QCM, DTM)
     
-    # Default to showing the first option if available
-    default_display = sections[options[0]] if options else "No content available"
+    # Display default section content
+    default_display = sections["QCM"]  # Default to QCM section if it exists
     
-    return "File uploaded successfully!", options, default_display
+    # Enable radio button after file upload
+    return "File uploaded successfully!", default_display, gr.update(visible=True, interactive=True, choices=["QCM", "short_answer_questions", "long_answer_questions"])
 
 def display_selected_content(selection, sections):
+    # Return content for selected section
     return sections.get(selection, "No content available")
 
 # Define the Gradio app
 with gr.Blocks() as demo:
-    gr.Markdown("### Upload a file and select a section (QCM, DTM)")
+    gr.Markdown("### Upload a file and select a section (QCM, short_answer_questions, long_answer_questions)")
     
     # File upload and output elements
     file_input = gr.File(label="Upload a file (PDF, JSON, DOCX)")
     upload_output = gr.Textbox(label="Upload Status")
-    radio_button = gr.Radio(label="Select Section", interactive=True)
+    radio_button = gr.Radio(["QCM", "short_answer_questions", "long_answer_questions"], label="Select Section", interactive=False, visible=False)
     section_output = gr.Textbox(label="Selected Content")
     
-    # Handle file upload and section selection
-    file_input.change(fn=handle_file_upload, inputs=file_input, outputs=[upload_output, radio_button, section_output])
+    # Handle file upload and enable radio button with section selection
+    file_input.change(fn=handle_file_upload, inputs=file_input, outputs=[upload_output, section_output, radio_button])
     radio_button.change(fn=display_selected_content, inputs=[radio_button, radio_button], outputs=section_output)
 
 # Launch the app
 demo.launch()
 
+
+
+# Set up Gradio Interface
+# iface = gr.Interface(
+#     #fn=chatbot,
+#     inputs=[
+#         gr.File(label="Upload a file (PDF, JSON, DOCX)"),
+#         gr.Textbox(label="Your Message"),
+#         "state"  # Keeps chat history between turns
+#     ],
+#     outputs="chatbot",
+#     live=True,
+#     description="Drag and drop a file and start chatting with the bot based on its contents."
+# )
+# iface.launch()
+#title="👋 Hola-Hello-Bonjour-Mbote-你好 👋 <br><br> I am geobot-teacher the student marker! <br><br> I am here to analyse each question to determine whether the response qualifies as a pass or fail. <br><br> Try me :)",
+#description="Synthetic QA pairs (~1k) was finetuned on top of Gemma_2b_en.")
+# inputs="text"
+
+# iface = gr.Interface(launch,
+#                      inputs="text",
+#                      outputs="text",
+#                      css=css,
+#                      title="👋 Hi, I am geobot-teacher: The Student Marker 👋",
+#                      description="Hola/Hello/Bonjour/Mbote/你好 \n\n"
+#                                     "I am here to analyse each question to determine whether the response qualifies as a pass or fail.\n\n"
+#                                     "Try me :)",
+#                     )
+
+# import gradio as gr
+# import json
+# import fitz  # PyMuPDF for PDFs
+# from docx import Document
+
+# Function to read PDF, JSON, or DOCX files and categorize content
+# def read_pdf(file):
+#     text = ""
+#     pdf = fitz.open(file)
+#     for page in pdf:
+#         text += page.get_text()
+#     pdf.close()
+#     return text
+
+# def read_json(file):
+#     with open(file.name, 'r', encoding='utf-8') as f:
+#         data = json.load(f)
+#     return json.dumps(data, indent=4)
+
+# # def read_docx(file):
+# #     doc = Document(file)
+# #     text = "\n".join([paragraph.text for paragraph in doc.paragraphs])
+# #     return text
+
+# def parse_content(content):
+#     # Assuming header and multiple_choice_questions sections are clearly marked in the content
+#     sections = {"header": "", "multiple_choice_questions": ""}
+#     # Here, a simple splitting example (customize this based on your format)
+#     if "header" in content:
+#         sections["header"] = content.split("header")[1].split("header")[0].strip()
+#     if "multiple_choice_questions" in content:
+#         sections["multiple_choice_questions"] = content.split("multiple_choice_questions")[1].strip()
+#     return sections
+
+# def handle_file_upload(file):
+#     if file is None:
+#         return "Please upload a file.", [], ""
+    
+#     file_type = file.name.split('.')[-1].lower()
+#     if file_type == 'pdf':
+#         content = read_pdf(file.name)
+#     elif file_type == 'json':
+#         content = read_json(file)
+#     elif file_type == 'docx':
+#         content = read_docx(file)
+#     else:
+#         return "Unsupported file format. Please upload a PDF, JSON, or DOCX file.", [], ""
+
+#     # Parse content into sections
+#     sections = parse_content(content)
+#     options = list(sections.keys())  # Radio button options (e.g., QCM, DTM)
+    
+#     # Default to showing the first option if available
+#     default_display = sections[options[0]] if options else "No content available"
+    
+#     return "File uploaded successfully!", options, default_display
+
+# def display_selected_content(selection, sections):
+#     return sections.get(selection, "No content available")
+
+# # Define the Gradio app
+# with gr.Blocks() as demo:
+#     gr.Markdown("### Upload a file and select a section (QCM, DTM)")
+    
+#     # File upload and output elements
+#     file_input = gr.File(label="Upload a file (PDF, JSON, DOCX)")
+#     upload_output = gr.Textbox(label="Upload Status")
+#     radio_button = gr.Radio(label="Select Section", interactive=True)
+#     section_output = gr.Textbox(label="Selected Content")
+    
+#     # Handle file upload and section selection
+#     file_input.change(fn=handle_file_upload, inputs=file_input, outputs=[upload_output, radio_button, section_output])
+#     radio_button.change(fn=display_selected_content, inputs=[radio_button, radio_button], outputs=section_output)
+
+# # Launch the app
+# demo.launch()
+
 # iface = gr.Interface(fn=launch,
 #                      inputs=[ 
 #                      gr.File(label="Upload a file (PDF, JSON, DOCX)"),gr.Textbox(label="Enter your response"),