Create app.py

app.py

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+import gradio as gr
+from gradio_client import Client
+import PyPDF2
+
+# Função para extrair texto de um PDF
+def extract_text_from_pdf(pdf_path):
+    with open(pdf_path, 'rb') as file:
+        reader = PyPDF2.PdfFileReader(file)
+        text = ''
+        for page_num in range(reader.numPages):
+            page = reader.getPage(page_num)
+            text += page.extract_text()
+    return text
+
+# Função para gerar parecer usando o modelo de linguagem
+def generate_analysis(text):
+    client = Client("yuntian-deng/ChatGPT")
+    result = client.predict(
+        inputs=text,
+        top_p=1,
+        temperature=1,
+        chat_counter=0,
+        chatbot=[],
+        api_name="/predict"
+    )
+    return result
+
+# Função principal para a interface
+def analyze_pdf(pdf_file):
+    text = extract_text_from_pdf(pdf_file.name)
+    analysis = generate_analysis(text)
+    return analysis
+
+# Interface Gradio
+iface = gr.Interface(
+    fn=analyze_pdf,
+    inputs=gr.File(label="Upload PDF"),
+    outputs=gr.Textbox(label="Parecer Gerado"),
+    title="Sistema de Análise de PDF com RAG",
+    description="Faça upload de um PDF para gerar um parecer."
+)
+
+iface.launch()