Create app.py

app.py

@@ -0,0 +1,95 @@
+import os
+from bs4 import BeautifulSoup
+import gradio as gr
+from langchain import OpenAI, ConversationChain, LLMChain, PromptTemplate
+from langchain.memory import ConversationBufferWindowMemory
+import openai
+import requests
+from langchain.chat_models import ChatOpenAI
+import docx2txt
+from pypdf import PdfReader
+import requests
+from bs4 import BeautifulSoup
+from io import BytesIO
+
+template = '''
+{history}
+{human_input}
+'''
+prompt = PromptTemplate(
+    input_variables=["history", "human_input"], 
+    template=template
+)
+
+chatgpt_chain = LLMChain(
+    llm=ChatOpenAI(model="gpt-3.5-turbo", temperature=0.5,openai_api_key=OPENAI_API_KEY), 
+    prompt=prompt, 
+    verbose=True, 
+    memory=ConversationBufferWindowMemory(k=10),
+)
+
+def process_files(file, url):
+    
+    print(file.name)
+    print(file.read())
+    # Extract text from Word or PDF files
+    if file.name.endswith('.docx'):
+        text_from_file = docx2txt.process(file.name)
+    elif file.name.endswith('.pdf'):
+        reader = PdfReader(file.name)
+        text_from_file = ''
+        print(len(reader.pages))
+        for page_num in range(len(reader.pages)):
+            page = reader.pages[page_num]
+            #print(page.extract_text())
+            text_from_file += page.extract_text()
+            word_list = []
+            for i in text_from_file.split('\n'):
+                word_list.append(i.replace(' ', ''))
+
+            text_from_file = ' '.join(word_list)
+            del word_list
+
+    # Extract text from URL
+       
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text, 'html.parser')
+    raw_text = soup.get_text()
+    text_from_url = ' '.join(raw_text.split())
+    
+    prompt_input = '''
+    
+    Here is my resume:
+    {}
+    
+    Here is the company's job description:
+    {}
+    
+    Write a cover letter in the first person perspective that is convincing and touching.  
+    Relate points in the resume with the job description. 
+    Write in the first person perspective.  
+    Highlight the facts in my resume that is relevant to the job description. 
+    The cover letter should convince the hiring manager that this candidate is highly valuable and an absolute must hire.  
+    Start the cover letter with "Dear"
+    
+'''.format(text_from_file, text_from_url)
+    
+    output=chatgpt_chain.predict(human_input=prompt_input)
+
+    os.remove(file.name)
+
+    return output
+
+iface = gr.Interface(
+    fn=process_files, 
+    inputs=[
+        gr.inputs.File(type="file", label="Upload .docx or .pdf file"), 
+        gr.inputs.Textbox(lines=2, label="Job Description URL",placeholder="Enter job URL here...")],
+    outputs=[
+        gr.outputs.Textbox(label="Cover Letter")
+       ],
+    title="Auto Cover Letter",
+    description="Upload your resume(make sure it is a .docx or .pdf file) and insert the URL containing the job description.\nProcess takes about 40 seconds."
+)
+
+iface.launch()