Update app.py

app.py

@@ -1,46 +1,46 @@
-import streamlit as st
-from langchain_community.document_loaders import WebBaseLoader
-
-from chains import Chain
-# from portfolio import Portfolio
-from utils import clean_text, extract_text_from_pdf
-
-
-def create_streamlit_app(llm, clean_text):
-    st.title("📧 Welcome to Cold E-Mail Generator")
-    
-    # PDF upload section
-    uploaded_file = st.file_uploader("Upload your resume as PDF", type=["pdf"])
-    pdf_text = extract_text_from_pdf(uploaded_file)
-    # if pdf_text:
-    #     st.text_area("Extracted Text", value=pdf_text, height=300)
-    
-    
-    url_input = st.text_input("Enter the URL of Job Posting:", value="https://careers.myntra.com/job-detail/?id=7431200002")
-    submit_button = st.button("Generate E-mail")
-
-    if submit_button:
-        try:
-            loader = WebBaseLoader([url_input])
-            data = clean_text(loader.load().pop().page_content)   # cleans any unnecessary garbage text
-            jobs = llm.extract_jobs(data)                         # create json objects for the job
-            for job in jobs:                                      # this is for if one web page has multiple jobs
-                # skills = job.get('skills', [])
-                summarized_text = llm.summarize_pdf(pdf_text)
-                # st.text_area(summarized_text)
-                email = llm.write_mail(job, summarized_text)             # write the email
-                # st.code(email, language='markdown')
-                st.text_area("Email is as follows", value=email, height=500)
-
-                # st.code('hello')
-        except Exception as e:
-            st.error(f"An Error Occurred: {e}")
-
-
-if __name__ == "__main__":
-    chain = Chain()
-    # portfolio = Portfolio()
-    st.set_page_config(layout="wide", page_title="Cold Email Generator", page_icon="📧")
-    create_streamlit_app(chain, clean_text)
-
-
+import streamlit as st
+from langchain_community.document_loaders import WebBaseLoader
+
+from chains import Chain
+# from portfolio import Portfolio
+from utils import clean_text, extract_text_from_pdf
+
+
+def create_streamlit_app(llm, clean_text):
+    st.title("📧 Welcome to Cold E-Mail Generator")
+    
+    # PDF upload section
+    uploaded_file = st.file_uploader("Upload your resume as PDF", type=["pdf"])
+    pdf_text = extract_text_from_pdf(uploaded_file)
+    # if pdf_text:
+    #     st.text_area("Extracted Text", value=pdf_text, height=300)
+    
+    
+    url_input = st.text_input("Enter the URL of Job Posting:", value="https://jobs.nike.com/job/R-31388")
+    submit_button = st.button("Generate E-mail")
+
+    if submit_button:
+        try:
+            loader = WebBaseLoader([url_input])
+            data = clean_text(loader.load().pop().page_content)   # cleans any unnecessary garbage text
+            jobs = llm.extract_jobs(data)                         # create json objects for the job
+            for job in jobs:                                      # this is for if one web page has multiple jobs
+                # skills = job.get('skills', [])
+                summarized_text = llm.summarize_pdf(pdf_text)
+                # st.text_area(summarized_text)
+                email = llm.write_mail(job, summarized_text)             # write the email
+                # st.code(email, language='markdown')
+                st.text_area("Email is as follows", value=email, height=500)
+
+                # st.code('hello')
+        except Exception as e:
+            st.error(f"An Error Occurred: {e}")
+
+
+if __name__ == "__main__":
+    chain = Chain()
+    # portfolio = Portfolio()
+    st.set_page_config(layout="wide", page_title="Cold Email Generator", page_icon="📧")
+    create_streamlit_app(chain, clean_text)
+
+