Delete huggingface_app.py

huggingface_app.py

@@ -1,66 +0,0 @@
-import streamlit as st
-
-from run_eval import run_generate
-
-st.write("# GupShup")
-st.write("## Summarizing Open-Domain Code-Switched Conversations")
-task_type = st.sidebar.selectbox(
-    "Task type", ["Hinglish to English", "English to English"]
-)
-model_name = st.sidebar.selectbox(
-    "Model", ["Pegasus", "mBart", "Bart", "GPT", "T5", "T5_MTL"]
-)
-
-
-default_value = "summarize: Debanjan: Hi! kya tum EMNLP attend kar rahein ho? Anish: nehi I will skip this year. what about you? Debanjan: mein virtually attend kar raha hu  Debanjan: hopefully can attend the conference in person from next year... Anish: haan dekhtey hain, in person attend karney mein alaag hi maaza hain Debanjan: but I also like this hybrid mode allows to attend the sessions in case you do not make it Anish: right Anish: if you are attending to mujhe interesting papers kuch bhej dena Debanjan: sure"
-
-conv_form = st.sidebar.form(key="conv_form")
-conv_ip = conv_form.text_input(label="Please enter the conversastion", value=default_value)
-conv_submit_button = conv_form.form_submit_button(label="Submit")
-
-# sent = st.text_area("Text", default_value, height=275)
-
-st.write("### Task Type:", task_type)
-st.write("### Model:", model_name)
-x = "fg"
-
-src_file = None
-tar_file = None
-gen_file = "generated_summary.txt"
-score_file = None
-
-if conv_submit_button:
-    if conv_ip == "":
-        st.write("Pls enter non empty conversastion")
-    else:
-        st.write("### Summarizing below Conversastion")
-        st.write(conv_ip)
-        src_file = "conversastion.txt"
-        src_fp = open(src_file, "w")
-        src_fp.write(conv_ip)
-        src_fp.close()
-
-tt = "h2e"
-if task_type == "English to English":
-    tt = "e2e"
-elif task_type == "Hinglish to English":
-    tt = "h2e"
-model_name_path = "midas/gupshup_" + str(tt) + "_" + str(model_name).lower()
-
-
-result = run_generate(
-    verbose=True,
-    model_name_path=model_name_path,
-    src_txt=src_file,
-    tar_txt=tar_file,
-    gen_path=gen_file,
-    scor_path=score_file,
-    batch_size=8,
-)
-
-if conv_submit_button:
-    st.write("summary:")
-    fp = open(gen_file, "r")
-    summary = fp.readlines()
-    fp.close()
-    st.write(summary)