Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+import PyPDF2
+import os
+from dotenv import load_dotenv
+
+# API anahtarınızı yükleyin
+load_dotenv(override=True)
+api_key = os.getenv("GEMINI_API_KEY")
+genai.configure(api_key=api_key)
+
+# Gemini modelini başlat
+model = genai.GenerativeModel(model_name="gemini-1.5-flash",
+                              system_instruction="Sen bir belge sohbet asistanısın. Sorulara sana verilen belgeler içindeki bilgileri tarayarak yanıt vermelisin. Aksi belirtilmediği sürece yanıtları Türkçe olarak ver."
+                              )
+
+def extract_text_from_pdf(pdf_files):
+    extracted_texts = []
+    for pdf_file in pdf_files:
+        with open(pdf_file.name, 'rb') as f:
+            pdf_reader = PyPDF2.PdfReader(f)
+            extracted_text = ""
+            for page in pdf_reader.pages:
+                text = page.extract_text()
+                if text:
+                    extracted_text += text
+            extracted_texts.append(extracted_text)
+    return extracted_texts
+
+def chat_with_documents(history, pdf_files):
+    if not history:
+        return history
+    
+    extracted_texts = extract_text_from_pdf(pdf_files)
+    user_input = history[-1]['content']
+    prompt = [user_input] + extracted_texts
+    response = model.generate_content(prompt)
+    
+    history.append({
+        'role': 'assistant', 
+        'content': response.text
+    })
+    return history
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Belgelerinizle Sohbet Edin (Gemini API kullanarak)")
+    with gr.Accordion("Belgeler", open=False):
+        docs = gr.File(
+            label="Belgeleri Yükleyin",
+            file_count="multiple",
+            type="filepath"
+        )
+    chatbot = gr.Chatbot(type="messages")
+    msg = gr.Textbox(label="Mesajınız")
+    clear = gr.Button("Temizle")
+
+    def on_user_message(user_message, history):
+        history = history or []
+        history.append({
+            'role': 'user', 
+            'content': user_message
+        })
+        return "", history
+
+    def on_generate_response(history, docs_value):
+        if not docs_value:
+            history.append({
+                'role': 'assistant', 
+                'content': "Lütfen önce belge(leri) yükleyin."
+            })
+            return history
+        
+        if history:
+            history = chat_with_documents(history, docs_value)
+        return history
+
+    msg.submit(on_user_message, [msg, chatbot], [msg, chatbot]).then(
+        on_generate_response, [chatbot, docs], chatbot
+    )
+    clear.click(lambda: None, None, chatbot, queue=False)
+    
+demo.launch()