Update app.py

app.py

@@ -39,11 +39,11 @@ def text_extract(file):
     for page_num in range(num_pages):
         page = pdf_reader.pages[page_num]
         text += page.extract_text() or ""
-    text_splitter = text_splitter_function(text) 
-    embeddings = GooglePalmEmbeddings(google_api_key=google_api)
-    print(embeddings)
-    db = FAISS.from_texts(text_splitter, embeddings)
-    print(db)
+    # text_splitter = text_splitter_function(text) 
+    # embeddings = GooglePalmEmbeddings(google_api_key=google_api)
+    # print(embeddings)
+    # db = FAISS.from_texts(text_splitter, embeddings)
+    # print(db)
     # retriever = db.as_retriever(search_type="similarity", search_kwargs={"k": 2})
     # llm=GooglePalm(google_api_key=google_api)
     # qa = RetrievalQA.from_chain_type(
@@ -53,7 +53,11 @@ def text_extract(file):
     # print("FitBot:",result1['result'])
     # Split extracted text into chunks
     # result = helper(text_splitter)  # Call helper to process text chunks
-    return "result1['result']"
+    client = genai.Client(api_key="AIzaSyBaY8zx4ak0t4TkBp28lL2hLqREzlN_Mb0")
+    response = client.models.generate_content(
+    model="gemini-2.0-flash", contents=f"you will be given the input data you have to answer the question according to the user input : {text}"
+)
+    return print(response.text)
 
 # Define Gradio interface
 with gr.Blocks() as demo: