Improve environment setup & fix path errors & exec

README.md

@@ -9,13 +9,23 @@ See more details in our [blog post](https://blog.openai.com/better-language-mode
 ## Installation
 
 Download the model data (needs [gsutil](https://cloud.google.com/storage/docs/gsutil_install)):
+```bash
+./download_model.sh 117M
 ```
-sh download_model.sh 117M
+
+Create virtual environment with [miniconda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html#regular-installation):
+```bash
+conda create -y -n gpt-2 python=3.6
 ```
 
-Install python packages:
+And activate it:
+```bash
+conda activate gpt-2
 ```
-pip3 install -r requirements.txt
+
+Then install python packages:
+```bash
+pip install -r requirements.txt
 ```
 
 ## Unconditional sample generation
@@ -24,25 +34,27 @@ pip3 install -r requirements.txt
 | --- |
 
 To generate unconditional samples from the small model:
+```bash
+python generate_unconditional_samples.py | tee samples
 ```
-python3 src/generate_unconditional_samples.py | tee samples
-```
+
 There are various flags for controlling the samples:
-```
-python3 src/generate_unconditional_samples.py --top_k 40 --temperature 0.7 | tee samples
+```bash
+python generate_unconditional_samples.py --top_k 40 --temperature 0.7 | tee samples
 ```
 
 While we have not yet released GPT-2 itself, you can see some unconditional samples from it (with default settings of temperature 1 and no truncation) in `gpt2-samples.txt`.
 
 ## Conditional sample generation
 
 To give the model custom prompts, you can use:
-```
-python3 src/interactive_conditional_samples.py
+```bash
+python interactive_conditional_samples.py
 ```
 
 ## Future work
 
 We may release code for evaluating the models on various benchmarks.
 
 We are still considering release of the larger models.
+

download_model.sh

@@ -1,3 +1,4 @@
+#!/usr/bin/env bash
 model=$1
 
 mkdir -p models/$model

src/generate_unconditional_samples.py → generate_unconditional_samples.py

@@ -1,5 +1,3 @@
-#!/usr/bin/env python3
-
 import fire
 import json
 import os

src/interactive_conditional_samples.py → interactive_conditional_samples.py

@@ -1,5 +1,3 @@
-#!/usr/bin/env python3
-
 import fire
 import json
 import os

src/sample.py

@@ -1,6 +1,6 @@
 import tensorflow as tf
 
-import model
+from src import model
 
 def top_k_logits(logits, k):
     if k == 0: