Update app.py

app.py

@@ -117,14 +117,6 @@ def analyze_image(image, prompt, api_key):
     response = model.generate_content([prompt, image])
     return response.text
 
-# Function to search for research papers
-def search_research_papers(query):
-    search_url = f"https://scholar.google.com/scholar?q={query}"
-    response = requests.get(search_url)
-    soup = BeautifulSoup(response.content, 'html.parser')
-    papers = [{'title': item.select_one('.gs_rt').text, 'link': item.select_one('.gs_rt a')['href']} for item in soup.select('[data-lid]')]
-    return papers
-
 # Function to fetch and parse RSS feed
 def fetch_rss_feed(feed_url):
     feed = feedparser.parse(feed_url)
@@ -333,9 +325,8 @@ def medical_imaging_diagnostics():
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
 
-    st.header("Analysis Options")
     default_prompt = "Analyze this medical image. Describe what you see, identify any abnormalities, and suggest potential diagnoses."
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
 
     analyze_button = st.button("Analyze Image")
     regenerate_button = st.button("Regenerate Analysis")
@@ -372,13 +363,7 @@ def medical_imaging_diagnostics():
                             # Generate PDF report
                             pdf_buffer = create_pdf_report("Yashvi M. Patel", 21, "Female", diagnosis, detailed_diagnosis, "", img_buffer, report_format)
                             st.download_button(label="Download Report", data=pdf_buffer, file_name="medical_report.pdf", mime="application/pdf")
-
-                            # Search for research papers
-                            st.header("Related Research Papers")
-                            papers = search_research_papers(diagnosis)
-                            for paper in papers:
-                                st.markdown(f"[{paper['title']}]({paper['link']})")
-
+                            
                         except Exception as e:
                             st.error(f"An error occurred: {str(e)}")
                 else:
@@ -396,9 +381,8 @@ def medical_transcription():
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
 
-    st.header("Analysis Options")
     default_prompt = "Analyze this medical prescription and transcribe it in tabular format."
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
     
     analyze_button = st.button("Get Transcription")
 
@@ -473,7 +457,6 @@ def medical_pathology_diagnostics():
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
 
-    st.header("Analysis Options")
     default_prompt = """You are a highly skilled medical professional specializing in pathology. Please analyze the uploaded medical pathology report and extract the following information accurately and concisely. Present the information in a structured format with clear labels:
 
 1. **Patient Information:**
@@ -519,7 +502,7 @@ Ensure that the extracted information is accurate and formatted correctly.
 
 """
 
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
     
     analyze_button = st.button("Analyze Report")
 
@@ -570,9 +553,8 @@ def medical_coding():
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
     
-    st.header("Analysis Options")
     default_prompt = "Analyze the image and suggest the ICD medical codes with description. Make it simple and concise."
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
     
     analyze_button = st.button("Get ICD Codes")
 
@@ -613,7 +595,6 @@ def insurance_risk_analysis():
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
     
-    st.header("Analysis Options")
     default_prompt = """You are a highly skilled insurance analyst. Please analyze the uploaded image containing user data and calculate the insurance risk percentage. Provide a detailed justification for the calculated risk percentage based on the data.
 
 **Format for Output:**
@@ -623,7 +604,7 @@ def insurance_risk_analysis():
 
 Ensure that the calculated risk and justification are accurate and well-explained."""
 
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
     
     analyze_button = st.button("Analyze Risk")
 
@@ -663,8 +644,7 @@ def treatment_diet_plan_generator():
 
     st.header("API Key")
     api_key = st.text_input("Enter your Google API key:", type="password")
-    
-    st.header("Analysis Options")
+
     default_prompt = """You are a highly skilled medical professional. Please analyze the uploaded image containing patient data and generate a treatment plan and a diet plan based on the information provided.
 
 **Format for Output:**
@@ -677,7 +657,7 @@ def treatment_diet_plan_generator():
 
 Ensure that the plans are accurate and well-explained."""
 
-    prompt = st.text_area("Enter your prompt:", value=default_prompt, height=100)
+    prompt = default_prompt
     
     generate_plan_button = st.button("Generate Plan")